Gene expression data, particularly from RNA-sequencing experiments, often show overdispersion due to biological and technical variability. The negative binomial distribution is frequently used to model gene expression counts, enabling more accurate differential expression analysis. This helps in identifying genes that are differentially expressed between cancerous and non-cancerous tissues, leading to potential biomarkers and therapeutic targets.
